Publication Type:

Journal Article


Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Volume 98 LNICST, Xi'an, p.511-520 (2012)





Accidents, Causes of death, Computer simulation, Drowning, Drowning detection system, Integrated circuit technology, Low and middle income countries, Network simulators, Parental care, Product design, RF transceivers, Sensing devices, Sensor Products, Smart sensing, Smart sensor devices, Smart sensors, Space optics, System architectures, System issues, Unintentional Death, Unintentional injuries, WiEyeTNB, Wireless networks, Wireless sensor, World Health Organization


Drowning is considered as the third leading cause of unintentional injury death globally. In many low and middle income countries drowning is one of the leading causes of death, especially for children under 12 years old. According to the World Health Organization (WHO) report 388000 people died in 2004 as a result of drowning around the world. The overall global rate of drowning among children is 7.8 deaths per 10000 populations. Advances in sensing devices and integrated circuit technology pave the way for many smart sensing products. WiEyeTNB, Wireless Eye That Never Blinks, discusses the novel notion of designing a smart sensor product for detecting drowning in advance, especially among the children under the age of 5. Smart sensor devices consist of a microprocessor, RF transceiver, one or more sensors and powering devices. The proposed system issues an alarm through a wireless network so that immediate attention can be given to the casualty. Simulation of the system is performed using QualNet 5.0.2 Network Simulator and evaluated the performance of the proposed system architecture. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.


cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@383f79f ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@4cf5e986 Through org.apache.xalan.xsltc.dom.DOMAdapter@24b683e3; Conference Code:93550

Cite this Research Publication

B. Hariharan, Das, R. N., and Arjun, S., “WiEyeTNB: A wireless sensor based drowning detection system for enhanced parental care”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 98 LNICST, pp. 511-520, 2012.